Hidden Markov Models based intelligent health assessment and fault diagnosis of rolling element bearings
Y Qifeng, C Longsheng, MT Naeem - Plos one, 2024 - journals.plos.org
Hidden Markov Models (HMMs) have become an immensely popular tool for health
assessment and fault diagnosis of rolling element bearings. The advantages of an HMM …
assessment and fault diagnosis of rolling element bearings. The advantages of an HMM …
Vibration and acoustics analyses of tapered roller bearing
This paper describes the experimental and statistical methods to analyse the tapered roller
bearing system. Operating speed and radial loads are the essential process variables for …
bearing system. Operating speed and radial loads are the essential process variables for …
Hidden Markov Model for Hard Disk Drive Failure Detection
A Harish, G Prakash, RR Nair, VB Iyer… - … in Technology and …, 2024 - ieeexplore.ieee.org
Understanding disk failures is crucial for both disk manufacturers and users, enabling the
production of more dependable disk drives and the establishment of robust storage systems …
production of more dependable disk drives and the establishment of robust storage systems …
An Hmm-Based On-Line Fault Detection and Diagnosis Model for Underwater Gliders
G Wang, Y Zhou, T Yue, J Wu, M Yang… - Available at SSRN … - papers.ssrn.com
The underwater glider (UG) is a deep-sea measurement system where fault detection and
diagnosis (FDD) are essential to ensure its robustness in data acquisition tasks. Most …
diagnosis (FDD) are essential to ensure its robustness in data acquisition tasks. Most …